Written by:  KrishnaTeja.Vemparala@unt.edu
                        				
                     
                    
               
               
               
               Dr. Omar Valsson, Assistant Professor of Chemistry at UNT, is one of 93 recipients
                  of the prestigious 2023 Early Career Award from the U.S. Department of Energy (DOE).
                  Funding for these highly competitive awards is part of the DOE Office of Science's
                  Early Career Research Program, which supports exceptional researchers at the outset
                  of their careers.  The 2023 Early Career Research Program awardees represent 47 universities
                  and 12 DOE National Laboratories in 27 states across the country and will receive
                  a combined $135 million in funding from the program (https://science.osti.gov/early-career).  Dr. Valsson, one of only three 2023 DOE Early Career awardees in the state of
                  Texas, will receive research support of $875k over five years.
               
               Dr. Valsson was selected for this award for his research project "the Molecular Block
                  Sampling Approach for Polymorphic Free Energy Calculations".  Polymorphism, the possibility
                  of molecular crystals having two or more crystalline phases with different molecular
                  arrangements but identical chemical formulations, has immense scientific and practical
                  importance in chemistry, materials science, and the pharmaceutical and semiconductor
                  industries.  However, tackling molecular crystals is among the most challenging computational
                  chemistry tasks.  Dr. Valsson's research will develop a novel enhanced sampling method
                  for molecular dynamics simulations-- called the Molecular Building Block Sampling
                  Approach--to tackle challenging temperature-mediated polymorphic transition in molecular
                  crystals that state-of-the-art crystal structure prediction methods cannot describe.
                  The outcome of this research will be new methods for predicting the behavior and properties
                  of a host of scientifically and technologically interesting materials.